Merge branch 'main' of https://github.com/SimoSbara/HandOCRPaint

Author: SimoSbara

README.md

@@ -9,12 +9,15 @@ Hand OCR Paint is meant to be useful for testing an OCR Neural Network for handw
 [Sample Networks](https://github.com/SimoSbara/HandOCRPaint/tree/main/nets) that I trained:
 * [Alex Net](https://medium.com/@siddheshb008/alexnet-architecture-explained-b6240c528bd5);
 * [Mobile Net V3](https://towardsdatascience.com/everything-you-need-to-know-about-mobilenetv3-and-its-comparison-with-previous-versions-a5d5e5a6eeaa);
-* [Custom OCR KAN Net](https://github.com/Blealtan/efficient-kan) that is equivalent to MLP (trained on MNIST).
+* [KAN Net](https://github.com/Blealtan/efficient-kan) equivalent to MLP (trained on MNIST);
+* [Convolutional KAN Net](https://github.com/SimoSbara/kan-lenet), LeNet but with KAN as Classifier (trained on MNIST).
 
 ## Parameters
-Use [-1, 1] normal range and image inversion for KAN Network, otherwise [0, 1] and no inversion.
+If you are testing Sample Networks:
+* Use [-1, 1] normal range and image inversion if you are using KAN Net or Convolutional KAN Net;
+* Use [0, 1] normal range and no image inversion for the others;
 
-Change parameters according to your training data.
+Change these parameters according to your training data if you are testing your own network.
 
 ## Libraries used:
 * [CxImage](https://www.codeproject.com/Articles/1300/CxImage) for image encoding/decoding;